Not sure whether I understand this [Two-Stage / GS Designs]

posted by d_labes  – Berlin, Germany, 2012-10-23 18:44 (4560 d 07:44 ago) – Posting: # 9452
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Dear ElMaestro,

❝ But now I will introduce a game-changer: Let's say I know that the actual Mean for Helmut is 45 and that the actual Mean for Detlew is 47. These are not estimates but true values. Given that I know this, and given our observations, what would then be the most likely residual st error?


What about this one: Subtract the 'known (true) means' from the measurement values and analyze them by fitting a model with all the other effects you are supposing to have to account for. The MSE of the fit is then the residual std error I think.

But I must confess that I'm totally unsure what you attempt to do in your original question :confused:.
You never know the true T/R ratio. Even if you have done your study (first stage or pivotal). The best you have is an estimate.
And assuming a true T/R ratio of say 0.95 within the 2-stage design evaluation is not for fitting a model to the data but only for powering the second stage enough under the assumption that you get an estimate equal or better than this true ratio.

Regards,

Detlew

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